Chalk Labs
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Install
Works with Claude Code, Claude apps, Codex, Cursor, Gemini CLI, GitHub Copilot, VS Code, OpenCode, Goose, Windsurf. Read the repository before you give any tool access to your data.
npx agentmarket install skill/eveld-linear-awareness
Asks which of your tools to add it to (Claude Code, Codex, Cursor, VS Code, Windsurf, Gemini CLI, Claude Desktop) and shows the change first. See https://agentmart.dev/cli.
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About
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Permissions
What this skill can do and what it asks for, from its SKILL.md. Checked Oct 25, 2026.
- Tools
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- Secrets
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- Install scripts
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Network hosts it talks to 1
codeload.github.com· found in install command
Files it touches
~/.claude/skills/linear-awareness
What's inside
- Skill name
linear-awareness- Description
- ALWAYS check before working with Linear issues. Guide for Linear-related skills for ticket management and debugging workflows.
- License
- MIT
- Instructions
- 116 lines in SKILL.md · view on GitHub
Files (1)
- SKILL.md
SKILL.md (first lines)
# Linear Skills Guide
You have specialized Linear issue management skills. Use these for structured ticket workflows during debugging investigations.
## Decision Tree
### Skills vs Agents
**Simple issue fetch or update?**
→ Use Linear skills
- `linear-issues` - Fetch, list, search issues (single linearis command)
- `linear-update` - Update issue, add comments
- Example: "Get details for ENG-1234"
- Use when: Single issue, straightforward query/update
**Complex investigation requiring analysis?**
→ Use Task tool with Linear agents (conserves context)
- `linear-locator` - Find issues by criteria, save to /tmp
- `linear-analyzer` - Extract debugging context, parse technical details
- `linear-pattern-finder` - Find patterns across issues, detect recurring problems
- Use when: Multi-issue analysis, pattern detection, trend analysis
### When to Use Which Agent
**Just need to find issues broadly?**
→ Use `linear-locator` agent only
- Lists/searches issues by team, label, state, text
- Saves filtered results to /tmp
- Example: "Find all FileB-related issues across teams"
**Investigating single issue for debugging?**
→ Use `linear-locator` + `linear-analyzer` agents
- Locator: Find issue and related issues
- Analyzer: Extract error messages, URLs, technical details
- Example: "Analyze ENG-1234 for debugging context"
**Need to find patterns or recurring problems?**
→ Use all three: `linear-locator` + `linear-analyzer` + `linear-pattern-finder`
- Locator: Fetch issues by criteria
- Analyzer: Parse each issue for technical details
- Pattern-finder: Correlate across issues, find recurring themes, temporal trends
- Example: "Find recurring VCS permission errors across last 2 months"
**Adding debugging findings to a ticket?**
→ Use `linear-update` skill
- Better than: Running raw `linearis comments create` commands
- Example: "Add root cause analysis to ENG-1234"
**Updating issue status after investigation?**
→ Use `linear-update` skill
- Includes: status, priority, labels updates
- Example: "Mark ENG-1234 as In Progress"
## Available Linear Tools
| Type | Name | Purpose |
|------|------|---------|
| Skill | linear-issues | Simple queries (single linearis command) |
| Skill | linear-update | Update issues, add comments |
| Agent | linear-locator | Find issues by criteria across teams |
| Agent | linear-analyzer | Extract debugging context from issues |
| Agent | linear-pattern-finder | Find patterns, recurring problems, trends |
## When to Use Raw linearis
Only use linearis CLI directly when:
- Running one-off commands not covered by skills
- User explicitly requests a specific linearis command
- Creating new issues (`linearis issues create`)
- Managing projects, teams, users (non-issue operations)
- Debugging the skill itself
For systematic ticket workflows (read → debug → update), use the specialized skills above.
## Common linearis Commands
**Covered by skills**:
- `linearis issues read` → Use `linear-issues`
- `linearis issues list` → Use `linear-issues`
- `linearis issues search` → Use `linear-issues`
- `linearis comments create` → Use `linear-update`
- `linearis issues update` → Use `linear-update`
**Not covered yet** (use directly):
- `linearis issues create` (issue creation)
- `linearis projects`, `linearis teams`, `linearis users` (non-issue operations)
## Authentication
Check linearis CLI is available and authenticated:
```bash
linearis --version
linearis issues list --limit 1
```
Note: Set `LINEARIS_API_TOKEN` environment variable or use `--api-token` flag.
## Integration with Debugging Workflow
Linear skills integrate with platform debugging:
**Workflow**:
1. `linear-issues` → Fetch ticket context
2. Platform investigation → Use GCP and K8s skills for debugging
3. `linear-update` → Add findings to ticket
4. `linear-update` → Update status to "Done"
**Example**:
```
User: "Debug issue ENG-1234"
Claude: [Checks linear-awareness] → Uses linear-issues
[Investigates using GCP/K8s skills]
[Checks linear-awareness] → Uses linear-update
```From eveld/claude, MIT.
More from eveld/claude
- 0.480score
linear-issues
eveld
Fetch and view Linear issues/tickets.
SkillDFreshness: D★ 10Claude Code +9 - 0.479score
gcp-logs
eveld
Query GCP Cloud Logging for errors, service logs, and request traces.
SkillDFreshness: D★ 10Claude Code +9 - 0.479score
k8s-query
eveld
Query Kubernetes resources (pods, deployments, services, events).
SkillDFreshness: D★ 10Claude Code +9 - 0.475score
k8s-debug
eveld
Launch ephemeral debug container in running pod for interactive debugging.
SkillDFreshness: D★ 10Claude Code +9 - 0.474score
spawn-planning-agents
eveld
Use when creating implementation plans to research codebase patterns and gather context for planning.
SkillDFreshness: D★ 10Claude Code +9 - 0.474score
gather-project-metadata
eveld
Use when creating research or plan documents to gather git commit, branch, repository info.
SkillDFreshness: D★ 10Claude Code +9 - 0.474score
debug-systematically
eveld
Use when encountering errors or bugs to follow a systematic debugging process instead of jumping to conclusions.
SkillDFreshness: D★ 10Claude Code +9 - 0.474score
spawn-research-agents
eveld
Use when conducting codebase research to orchestrate specialized agents in parallel for comprehensive investigation.
SkillDFreshness: D★ 10Claude Code +9 - 0.474score
follow-test-patterns
eveld
Use when writing tests to ensure they follow project conventions.
SkillDFreshness: D★ 10Claude Code +9 - 0.472score
before-code-analysis
eveld
Use BEFORE reading multiple files to understand code.
SkillDFreshness: D★ 10Claude Code +9 - 0.472score
linear-update
eveld
Update Linear issues with debugging findings.
SkillDFreshness: D★ 10Claude Code +9 - 0.472score
agent-awareness
eveld
ALWAYS check this skill before using grep, glob, Task tool, or doing any codebase exploration.
SkillDFreshness: D★ 10Claude Code +9
Signals
- Stars
- 10
- Forks
- 2
- Open issues
- 0
- Last commit (this folder)
- Dec 29, 2025 (10 months ago)
- Last release
- Dec 29, 2025 (10 months ago)
From GitHub (fetched Oct 24, 2026).
Details
- License
- MIT
- Repository
- github.com/eveld/claude
- First seen
- Oct 24, 2026
- Last checked
- Oct 24, 2026
- Source
- GitHubgithub-graphql
More from eveld
- 0.480score
linear-issues
eveld
Fetch and view Linear issues/tickets.
SkillDFreshness: D★ 10Claude Code +9 - 0.479score
gcp-logs
eveld
Query GCP Cloud Logging for errors, service logs, and request traces.
SkillDFreshness: D★ 10Claude Code +9 - 0.479score
k8s-query
eveld
Query Kubernetes resources (pods, deployments, services, events).
SkillDFreshness: D★ 10Claude Code +9 - 0.475score
k8s-debug
eveld
Launch ephemeral debug container in running pod for interactive debugging.
SkillDFreshness: D★ 10Claude Code +9 - 0.474score
spawn-planning-agents
eveld
Use when creating implementation plans to research codebase patterns and gather context for planning.
SkillDFreshness: D★ 10Claude Code +9 - 0.474score
debug-systematically
eveld
Use when encountering errors or bugs to follow a systematic debugging process instead of jumping to conclusions.
SkillDFreshness: D★ 10Claude Code +9
Done for you
Rather not set it up yourself?
Chalk Labs scopes, builds and runs agents for your team: the task audit, the eval harness, the integrations and the weekly ops report. Fixed scope, priced before we start.
See how we build AI agents →Read the case studies
Chalk Labs is a two-founder AI and growth studio. We build AI agents, CRMs and MVPs for Web3 and AI companies, and have shipped 50+ product and token launches.
- launches shipped
- 50+
- launches shipped
- media placements
- 500+
- media placements
- founders on every account
- 2
- founders on every account
Press we've placed: Forbes · CoinDesk · Decrypt · Cointelegraph · The Block
Rahil Jain, Co-founder, Chalk Labs. Ex-Goldman Sachs engineer. You talk to the person who builds it.
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Cite this page
linear-awareness skill. Agent Mart. https://agentmart.dev/skills/eveld-linear-awareness (last updated 2026-10-24)